Course
Duration

Advantages of Data Analytics

₹ 2,50,000+

Average Salary per Annum in India

$ 50,000

Average Salary per Annum in USA

15,00,000

Job Vacancies across the world

1,00,000

Data Science Experts in the world and the demand is increasing day by day

Why Choose Data Analytics Training Program?

Data analytics is all about turning vast and diverse sets of information into meaningful insights. By organizing, processing, and analyzing data, we can uncover patterns, trends, and opportunities that drive decisions from business growth to financial risk management. It draws on a mix of skills, including mathematical modeling, statistics, and data visualization, to make sense of the data we collect from various sources.To meet the demands of data analytics, we need a programming language that's not only flexible and easy to use but also powerful enough to handle complex calculations. Python is perfect for the job—it’s gained popularity for its coding simplicity while excelling in general computing and more advanced scientific tasks.The opportunities are vast for IT professionals who become data analysts. With the growing importance of data in almost every industry, these professionals are in high demand and offer exciting and diverse career paths around the world.

Hiring Partners

We are globally connected with the top IT companies

We are connected with companies with different industries across the nation. Our dedicated placement cell is constantly striving to get more companies on-board

About Data Analytics Training Course

Within the modern landscape of IT, data analysis establishes itself as a fundamental necessity. It collects, secures, and scrutinizes data to serve various requirements. Data analysis acts as a lynchpin across these domains, from crafting business blueprints and predicting climates to spotting patterns, directing promotional excursions, and mitigating monetary perils. It commands a cross-disciplinary method that employs mathematical structure, statistics, visual representation, and database toolkits, along with conjugation of commerce and scientific sensibility for efficient data dissection.To address these varying necessities, a coding language skillful enough to shoulder data analytics demands at their most intricate is needed. Python is the sought-after solution. With its plethora of coding libraries and inherent potentialities, this language eases one into the rigors of data analysis.

Data Analytics course overview

Tracks	Regular track	Full day (Fastrack )
Training Days	100 days	25 days

Data Types, Measure Of central tendency, Measures of Dispersion
Graphical Techniques, Skewness & Kurtosis, Box Plot
Descriptive Stats
Random Variable, Probability, Probability Distribution, Normal Distribution,
SND, Expected Value
Sampling Funnel, Sampling Variation, Central Limit Theorem, Confidence interval
Introduction to Hypothesis Testing
Hypothesis Testing (2 proportion test, 2 t sample t test)
Anova and Chisquare
Data Cleaning
Imputation Techniques
Scatter Diagram
Correlation Analysis

Power BI Introduction
Power BI Components
Getting Data using Power BI
Power BI Transformations
Creating Data Models
Power BI Charts
Power BI Filters
Power BI Visualizations
Exploring Data in Power BI
Power BI and Excel
Power BI Publishing and sharing
Power BI Integration with Data Sources
Data Analysis Expressions (DAX)
o Math & Stats
o SUMX & Calculate Function
o Related Function
o All Function
o Aggregate Functions
o Date Functions
o Logical Function

o String Functions
o Filter Functions
o Trigonometric Functions
o Time Intelligence Functions
Reports – Objects & Charts, Formatting Charts
o Report Interactions
o Bookmarks
o Managing Roles
o Custom Visuals
o Desktop vs Phone Layout
o Artificial Intelligence Visuals – Key Influencers

What is Data Visualization
o Advantages & Disadvantages of visualizations
o Why Data Visualization Important
o Understanding data
o Different data visualizations
Tableau –Data Visualization Tool
Introduction to Tableau
o What is Tableau?
o Overview Of Tableau Tool (Servers , data , visualizations)
Extensions in Tableau
Features of Tableau Desktop
Tableau-Joins and Data Pane
Tableau Data Pane
Pivot Table and Split Tables in Tableau
In built Charts in Tableau
o Basic Charts
o Text Tables
o Highlight Tables
o Bar charts
o Stacked Bar
o Line Graphs
o Dual axis
o Pie chart etc.
Maps in Tableau
Data Interpretation

Getting Started with Excel
Workbook Protection & Security
Data Formats, Data Formatting & Alignment
Hands on Practice on Short Keys
Conditional Formatting
Advanced Conditional Formatting techniques
Graphs & Charts
Advanced Charts – Waterfall/ Bridge Graphs
Data Tools- Filtering, Sorting, Remove Duplicates, Data Validation, Grouping
Absolute and Relative Referencing Concepts
Case Studies on Absolute and Relative Referencing
Specialized Functions/Formulas
Lookup Functions
Vlookup & its Limitations, Hlookup, Index Match, Hyperlink, Indirect, Offset,
Transpose
Vlookup Case Studies
Vlookup General Problems, Vlookup with Match Function, Vlookup using (*)
problems, Vlookup using Running Countif, Nested Vlookup
Text Formulas –
o Char, Concatenate, Exact, Find, Left, Right, Proper, Search, Mid, Upper
Logical Formulas –
o And, If, IfError, Not, OR, True
Date Time Formulas -
o Day, Date, Hour, Minute, Second, Time, Month, Year, Today, Weekday, Now
Mathematical Formulas –
o Sum, Sumif, Sumifs, Count, Countif, Mod, Product, Sumproduct, Roundup, Array
Formulas
Pivot Reports/ Dashboard
o Pivot Table & Pivot Charts
o Waterfall Mode

Comparision
Types of SQL Commands
Data Definition Language
o Create, Drop, Truncate, Alter and Rename Objects
Data Query Language
o Select Statements
Data Manipulation Language
DCL and TCL
o Grant, Revoke and transaction statements
SQL Data Types
o Numeric, Date and TIme, LOB Types
DML Commands
o Insert, Update and Delete Statements
DDL Commands
o Create and Drop Databases
SQL Transactions
o Examples
ACID Properties
TCL Statements
o Start, Commit and Rollback Statements
Auto Commit
SavePoints
o Identifier
o Rollback and Release
Database Objects
Tables
o Creating, Altering and dropping tables
Views
o Advantages
o Creating and Dropping Views
Indexes
Stored Objects
o Types of Stored Objects
Stored Procedures
Operators and Functions
Joining Tables
o Inner Join, Left Join, Right join
Advantages of Procedures
Database Triggers Accessing Database From R and Python
Triggers

Installation of Python
Python Strings
Python Lists
Python Datatypes & Python Loops
Python Tuples
Python Dictionary
Python Date & Time
Python Operators
Python Functions
Python I/O Functions
Debugging & Python Database Access – MySQL
Working with CSV & Excel Files
Advanced Data Types
o Deque in Python
o Python Dict
o Python Tuples
o Python Frozenset
o Difference between List, Tuple, Dict, Set, FrozenSet
Python Comprehensions
o List Comprehensions
o Set Comprehensions
o Dictionary Comprehensions
o Set Comprehensions
Numpy
Pandas
Data Analysis & Visualization in Python
Web Scrapping
Email Automation

Data analytics doesn't have a global certification.

Python Developer:

A developer who does the programming in python and is responsible for writing server-side web application logics in Python . Python web developers usually develop back-end components , trying to connect the application with other web services, and support the front-end developers by the integration of their programming with the front end development

Data Scientist:

Data scientists are those who crack complex data problems with their strong expertise in data science which includes python programming concept, data analysis and interpretation .Their work is to work with various mathematics, statistics, computer science related problems and provide a growth solution to the organisation.

Research Analyst:

A research analyst is a professional who prepares investigative reports on securities or assets for a client use and is responsible for researching, analyzing, interpreting, and presenting data related to markets, operations, finance/accounting, economics, customers, and other information related to the field they work in.

Software Developer / Engineer :

A software developer or en engineer who have the knowledge of Machine learning and can handle data science roles . People who are skilled in R, Python, Java or other relevant languages and having experts in knowledge graph mining or text mining.

Data Analyst :

- An analyst who collects the data, processes it and performs statistical analysis. According to which he translates the figures into simpler language and helps the organisations and companies to understand how to make better business

Placement Assistance
Live Project Assessment
Lifetime Career Support
Lifetime Training Membership (Candidate can join same course again for purpose of revision and update at free of cost at our any center in India or you can solve your query by online help)
Python Based Exam Scenario Preparation Included IN Training
Python Certification Preparation

Enrollment For Data Analytics

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+91-9983340133

+91-9001997175

Job Oriented Program

Our Job Oriented Program is one of a kind and a unique program that offers you 100% job guarantee right after completing the certification program and training with us. It is one of our renowned programs for producing job ready and experienced candidates with apt technical and soft skill knowledge, demanded in the prompt evolving IT and digital industries.

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Data Analytics Certification Training In Ahmedabad

Course Duration